Mamatha Bhat

5.5k total citations · 2 hit papers
173 papers, 3.6k citations indexed

About

Mamatha Bhat is a scholar working on Hepatology, Surgery and Epidemiology. According to data from OpenAlex, Mamatha Bhat has authored 173 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Hepatology, 81 papers in Surgery and 71 papers in Epidemiology. Recurrent topics in Mamatha Bhat's work include Liver Disease Diagnosis and Treatment (66 papers), Liver Disease and Transplantation (64 papers) and Organ Transplantation Techniques and Outcomes (57 papers). Mamatha Bhat is often cited by papers focused on Liver Disease Diagnosis and Treatment (66 papers), Liver Disease and Transplantation (64 papers) and Organ Transplantation Techniques and Outcomes (57 papers). Mamatha Bhat collaborates with scholars based in Canada, United States and United Kingdom. Mamatha Bhat's co-authors include Nahum Sonenberg, Ivan Topisirović, Nathaniel Robichaud, Jerry Pelletier, Laura Hulea, Gonzalo Sapisochín, Anand Ghanekar, Kymberly D. Watt, Nazia Selzner and David Grant and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and PLoS ONE.

In The Last Decade

Mamatha Bhat

152 papers receiving 3.5k citations

Hit Papers

Targeting the translation machinery in cancer 2015 2026 2018 2022 2015 2023 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mamatha Bhat Canada 31 1.3k 1.2k 1.1k 1.1k 319 173 3.6k
Ali Zarrinpar United States 33 1.5k 1.2× 1.4k 1.2× 1.5k 1.4× 1.0k 0.9× 277 0.9× 105 4.4k
Kwang‐Woong Lee South Korea 39 2.9k 2.2× 2.4k 2.1× 565 0.5× 1.6k 1.5× 227 0.7× 292 4.7k
David Cassiman Belgium 43 2.0k 1.5× 1.8k 1.5× 1.6k 1.4× 1.8k 1.7× 91 0.3× 211 5.9k
Scott J. Cotler United States 40 3.0k 2.3× 744 0.6× 611 0.6× 3.0k 2.8× 132 0.4× 185 4.8k
Noboru Harada Japan 37 2.4k 1.8× 2.6k 2.2× 524 0.5× 1.1k 1.0× 200 0.6× 254 4.8k
Jorge Quiroga Spain 42 2.8k 2.1× 1.6k 1.3× 573 0.5× 2.3k 2.1× 379 1.2× 190 5.4k
Toshimasa Asahara Japan 45 2.0k 1.5× 1.9k 1.6× 2.4k 2.2× 1.1k 1.1× 186 0.6× 274 6.4k
John Plevris United Kingdom 38 1.2k 0.9× 2.0k 1.7× 411 0.4× 1.1k 1.0× 101 0.3× 186 4.1k
Luca Cicalese United States 25 398 0.3× 914 0.8× 353 0.3× 264 0.2× 209 0.7× 119 2.0k
Daniel Q. Huang Singapore 35 2.8k 2.1× 748 0.6× 1.0k 0.9× 4.8k 4.5× 48 0.2× 180 7.1k

Countries citing papers authored by Mamatha Bhat

Since Specialization
Citations

This map shows the geographic impact of Mamatha Bhat's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mamatha Bhat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mamatha Bhat more than expected).

Fields of papers citing papers by Mamatha Bhat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mamatha Bhat. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mamatha Bhat. The network helps show where Mamatha Bhat may publish in the future.

Co-authorship network of co-authors of Mamatha Bhat

This figure shows the co-authorship network connecting the top 25 collaborators of Mamatha Bhat. A scholar is included among the top collaborators of Mamatha Bhat based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mamatha Bhat. Mamatha Bhat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Li, Zhihao, Owen Jones, Luckshi Rajendran, et al.. (2025). Comparing outcomes of deceased-donor and living-donor liver transplants in patients with PVT. Liver Transplantation. 32(1). 55–64.
3.
Rambhatla, Sirisha, Matthieu Komorowski, Diana Ferro, et al.. (2025). Responsible adoption of multimodal artificial intelligence in health care: promises and challenges. The Lancet Digital Health. 7(12). 100917–100917.
4.
Hirode, Grishma, Mamatha Bhat, Leslie Lilly, et al.. (2025). Chronic Hepatitis B Patients Referred for Liver Transplantation After Nucleos(t)ide Analog Cessation. Journal of Viral Hepatitis. 32(6). e70031–e70031. 1 indexed citations
5.
Hendershot, Christian S., Hannah Wozniak, Vathany Kulasingam, et al.. (2024). Utilization of biomarkers for alcohol use in candidates for liver transplantation with alcohol-associated liver disease. Liver Transplantation. 31(6). 762–769.
6.
Bhat, Mamatha, et al.. (2024). Isolated laryngeal candidiasis in an immunocompetent patient. Otolaryngology Case Reports. 32. 100615–100615.
8.
Mezzacappa, Catherine & Mamatha Bhat. (2023). Proteomic Panels for Alcohol-Associated Liver Disease: Accurate, but Different Enough From Existing Clinical Tests?. Gastroenterology. 165(6). 1576–1576.
9.
Aboussouan, Loutfi S., et al.. (2023). Treatments for obstructive sleep apnea: CPAP and beyond. Cleveland Clinic Journal of Medicine. 90(12). 755–765. 9 indexed citations
10.
Chen, Shiyi, Wei Xu, Keyur Patel, et al.. (2023). Living donor liver transplantation can address disparities in transplant access for patients with primary sclerosing cholangitis. Hepatology Communications. 7(8). 7 indexed citations
11.
Azhie, Amirhossein, Shiyi Chen, Wei Xu, et al.. (2023). Impact of living donor liver transplantation on long‐term cardiometabolic and graft outcomes in cirrhosis due to nonalcoholic steatohepatitis. Clinical Transplantation. 37(9). e15008–e15008. 1 indexed citations
12.
Orchanian‐Cheff, Ani, et al.. (2023). A Comprehensive Review of Liver Allograft Fibrosis and Steatosis: From Cause to Diagnosis. Transplantation Direct. 9(11). e1547–e1547. 1 indexed citations
13.
Allameh, Abdolamir, Angeliki Katsarou, Wen Gu, et al.. (2022). Hemojuvelin deficiency promotes liver mitochondrial dysfunction and predisposes mice to hepatocellular carcinoma. Communications Biology. 5(1). 153–153. 3 indexed citations
14.
Ivanics, Tommy, Madhukar S. Patel, Marco P. A. W. Claasen, et al.. (2022). Long-term outcomes of retransplantation after live donor liver transplantation: A Western experience. Surgery. 173(2). 529–536. 4 indexed citations
15.
Brar, Amanpreet, Cristina Baciu, Divya Sharma, et al.. (2022). Development of diagnostic and prognostic molecular biomarkers in hepatocellular carcinoma using machine learning: A systematic review. 3(4). 141–161. 5 indexed citations
16.
Yu, Jeffrey, et al.. (2021). Systematic review and meta‐analysis of post‐transplant diabetes mellitus in liver transplant recipients. Clinical Transplantation. 35(7). e14340–e14340. 6 indexed citations
17.
Rozenberg, Dmitry, Daniel Santa Mina, Lisa Wickerson, et al.. (2021). Feasibility of a Home-Based Exercise Program for Managing Posttransplant Metabolic Syndrome in Lung and Liver Transplant Recipients: Protocol for a Pilot Randomized Controlled Trial. JMIR Research Protocols. 11(3). e35700–e35700. 2 indexed citations
18.
Foroutan, Farid, Juan Duero Posada, Michael E. Farkouh, et al.. (2021). Remote Mobile Outpatient Monitoring in Transplant (Reboot) 2.0: Protocol for a Randomized Controlled Trial. JMIR Research Protocols. 10(10). e26816–e26816. 2 indexed citations
19.
Kollmann, Dagmar, Roizar Rosales, Bettina E. Hansen, et al.. (2020). Renal Dysfunction After Liver Transplantation: Effect of Donor Type. Liver Transplantation. 26(6). 799–810. 17 indexed citations
20.
Alain, Tommy, Masahiro Morita, Bruno D. Fonseca, et al.. (2012). eIF4E/4E-BP Ratio Predicts the Efficacy of mTOR Targeted Therapies. Cancer Research. 72(24). 6468–6476. 120 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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